Beauty Product Review

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Purbolaksono, Mahendra Dwifebri; Adiwijaya; Said Al Faraby, 2022, "Beauty Product Review", https://doi.org/10.34820/FK2/NAZYE1, Telkom University Dataverse, V1, UNF:6:3WcQ72ieFP5SlXmF9IPVZA== [fileUNF]

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Description	This dataset contains the Review of Beauty Product in the Bahasa Indonesia text representation. Each text in the dataset has been categorized into Price, Packaging, Product, and Aroma. Also, each category has been classified into Positive, Neutral, and Negative.
Subject	Computer and Information Science
Keyword	sentiment analysis
Related Publication	N.P. Arthamevia, Adiwijaya, M.D. Purbolaksono, "Aspect-Based Sentiment Analysis in Beauty Product Reviews Using TF-IDF and SVM Algorithm", 2021 9th International Conference on Information and Communication Technology ICoICT 2021, 2021, pp. 197–20 doi: 10.1109/ICoICT52021.2021.9527489

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	produk_kecantikan.tab Tabular Data - 1.5 MB - Mar 6, 2022 - 103 Downloads 6 Variables, 3960 Observations - UNF:6:3WcQ72ieFP5SlXmF9IPVZA==	Access File Download Options Original File Format (Comma Separated Values) Tab-Delimited RData Format Variable Metadata Data File Citation RIS EndNote XML BibTeX

Citation Metadata

Dataset Persistent ID	doi:10.34820/FK2/NAZYE1
Publication Date	2022-03-06
Title	Beauty Product Review
Author	Purbolaksono, Mahendra Dwifebri (Telkom University) - ScopusID: 57201690050 Adiwijaya (Telkom University) - ScopusID: 36338419400 Said Al Faraby (Telkom University) - ScopusID: 57191625963
Contact	Use email button above to contact. Purbolaksono, Mahendra Dwifebri (Telkom University)
Description	This dataset contains the Review of Beauty Product in the Bahasa Indonesia text representation. Each text in the dataset has been categorized into Price, Packaging, Product, and Aroma. Also, each category has been classified into Positive, Neutral, and Negative.
Subject	Computer and Information Science
Keyword	sentiment analysis
Related Publication	N.P. Arthamevia, Adiwijaya, M.D. Purbolaksono, "Aspect-Based Sentiment Analysis in Beauty Product Reviews Using TF-IDF and SVM Algorithm", 2021 9th International Conference on Information and Communication Technology ICoICT 2021, 2021, pp. 197–20 doi: 10.1109/ICoICT52021.2021.9527489 https://ieeexplore.ieee.org/document/9527489 C. H. Yustika, Adiwijaya, S. A. Faraby, "Analisis Sentimen Berbasis Aspek pada Review Female Daily Menggunakan TF-IDF dan Naïve Bayes", Jurnal Media Informatika Vol. 5 No. 2, 2021, pp. 422-430 doi: http://dx.doi.org/10.30865/mib.v5i2.2845 https://ejurnal.stmik-budidarma.ac.id/index.php/mib/article/view/2845
Language	Indonesian
Depositor	Purbolaksono, Mahendra Dwifebri
Deposit Date	2022-03-06

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